Initiated by the U.S. Department of Energy, the Genesis Mission is a national framework designed to accelerate scientific discovery and technological innovation by deeply integrating artificial intelligence with exascale supercomputing and advanced experimental infrastructure. In this talk, I will give an overview of the works done at OSU that led to a funded Genesis mission phase I project. I will first talk about our recent work on deploying 3D Gaussian Splatting and Stable Diffusion to construct scientific ensemble simulation surrogates. Then I will describe our effort on employing Implicit Neural Networks for compact scientific data representations, query, and bi-directional reasoning. By bridging the gap between frontier AI and complex physical simulation, these foundational advancements ultimately pave the way for next-generation scientific discovery.
Han-Wei Shen is a University Distinguished Scholar and a Full Professor in the Department of Computer Science and Engineering at The Ohio State University, where he leads the Graphics and Visualization Study (GRAVITY) research group. He is currently serving as a Program Director at the National Science Foundation (NSF) within the Computer and Information Science and Engineering (CISE) directorate, managing the Human-Centered Computing cluster. He served as the Editor-in-Chief for IEEE Transactions on Visualization and Computer Graphics (TVCG) from 2023 to 2025. His recognition includes receiving the IEEE VGTC Technical Achievement Award in 2024 and induction into the IEEE Visualization Academy. His primary research interests encompass AI for science, visualization, computer graphics, high-performance computing, and machine learning. He joined the faculty at Ohio State in 1999, following his tenure as a research scientist at the NASA Ames Research Center from 1996 to 1999. He received his Ph.D. from the Scientific Computing and Imaging (SCI) Institute at the University of Utah in 1998, M.S. from the State University of New York at Stony Brook, and B.S. from National Taiwan University.